Normality as an Asymptotic Approximation
This lecture is about a
By the end, you should be able to
inference
normality
But normality
Example: positive outcomes and positive regressors: how can \(U_{it}\) be normal?
Normality was useful?
If we knew some other distribution, would be nice
But we cannot
?
Model
A Deeper Look at Linear Regression: Asymptotic Normality